liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Real-time monitoring of voice characteristics usingaccelerometer and microphone measurements
Linköping University, Department of Electrical Engineering, Automatic Control.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

VoxLog is a portable voice accumulator, that uses both an accelerometer that measures skin vibrations and a regular microphone to collect data. The goal of the thesis was to implement and evaluate methods that based on this data estimate the three different voice parameters fundamental frequency, phonation and soundpressure level.

For pitch, three different methods were evaluated. The different methods all require relatively low computational power since the goal was to implement at least one of them on the digital signal processor in the VoxLog. The results from these evaluations show that the best estimations of pitch were made with a FFT-based approach that uses phase information to get an estimation with high frequencyresolution.

Phonation is estimated with an energy based voice activity detection method.This estimation is then used to choose when sound pressure level should be estimated. Here one of the main problems was to make a distinction between when sound pressure level should be estimated for the wearer of the VoxLog or when an estimation should be made for the background noise. This was solved by implementing a time window before and after phonation were neither is estimated.

For both pitch and sound pressure level a feedback functionality was implemented. The feedback is given to the user via vibrations in the VoxLog, the feedback is given when estimated parameters break set limits on pitch or sound pressure level.

Place, publisher, year, edition, pages
2011. , 46 p.
Keyword [en]
Pitch detection, Phonation time, Sound pressure level
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:liu:diva-69760ISRN: LiTH-ISY-EX--11/4468--SEOAI: diva2:432959
Subject / course
Automatic Control
2011-06-08, Glashuset, Universitetet, Linköping, 13:27 (Swedish)
Available from: 2011-08-09 Created: 2011-08-08 Last updated: 2011-08-10Bibliographically approved

Open Access in DiVA

fulltext(1141 kB)488 downloads
File information
File name FULLTEXT01.pdfFile size 1141 kBChecksum SHA-512
Type fulltextMimetype application/pdf

By organisation
Automatic Control
Other Electrical Engineering, Electronic Engineering, Information Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 488 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 400 hits
ReferencesLink to record
Permanent link

Direct link